A100 80GB vs H100 PCIe
Detailed comparison of specifications, performance, and pricing between A100 80GB and H100 PCIe
Difference Analysis
Full Specifications
| Specification | A100 80GB | H100 PCIe | H100 NVL | B200 |
|---|---|---|---|---|
| Brand | NVIDIA | NVIDIA | NVIDIA | NVIDIA |
| Series | - | Data Center | Data Center | Data Center |
| Architecture | - | Hopper | Hopper | Blackwell |
| VRAM | 80GB | 80GB | 93GB | 192GB |
| VRAM Type | - | HBM2e | HBM3 | HBM3e |
| Memory Bandwidth | - | 2.0 TB/s | 3.9 TB/s | 8.0 TB/s |
| FP16 TFLOPS | - | 102.0 | 134.0 | - |
| Tensor TFLOPS | - | 1.5k | 2.0k | 4.5k |
| TDP | - | 350W | 400W | 1000W |
| Form Factor | - | PCIe | NVL | SXM |
| Hardware Price | - | $$28k | $$35k | $$45k |
| Cloud Price (min) | $1.39/hr | $2.89/hr | $1.33/hr | $3.75/hr |
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A100 80GB vs H100 PCIe FAQ
It depends on your use case. The H100 PCIe offers 0% better performance (1.5k vs - TFLOPS). For raw performance, choose H100 PCIe. For value, consider your budget and workload requirements.
The A100 80GB has more VRAM with 80GB compared to 80GB (0% more). More VRAM is crucial for training large models and running inference on bigger batch sizes.
For AI training, the A100 80GB is generally better due to its larger VRAM (80GB). Large language models and deep learning workloads benefit significantly from more memory. However, if your models fit in 80GB, the cheaper option may be more cost-effective.
Price comparison requires both GPUs to have available pricing data. Check individual GPU pages for current market prices.
The H100 PCIe actually offers 0% better performance. An "upgrade" to A100 80GB would be a downgrade in raw performance, though it may offer other benefits like lower power consumption or cost.
